1 dataset found
  1. H

    Facebook Privacy-Protected Full URLs Data Set

    • dataverse.harvard.edu
    • berd-platform.de
    Updated Apr 13, 2023
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    Solomon Messing; Christina DeGregorio; Bennett Hillenbrand; Gary King; Saurav Mahanti; Zagreb Mukerjee; Chaya Nayak; Nate Persily; Bogdan State; Arjun Wilkins (2023). Facebook Privacy-Protected Full URLs Data Set [Dataset]. http://doi.org/10.7910/DVN/TDOAPG
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 13, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Solomon Messing; Christina DeGregorio; Bennett Hillenbrand; Gary King; Saurav Mahanti; Zagreb Mukerjee; Chaya Nayak; Nate Persily; Bogdan State; Arjun Wilkins
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This is a codebook for data on the demographics of people who viewed, shared, and otherwise interacted with web pages (URLs) shared on Facebook, between January 1, 2017 and October 31, 2022. The data has about 68 million URLs, over 3.1 trillion rows, and over 71 trillion cell values. It results from a collaboration between Facebook and Social Science One (at IQSS at Harvard), originally prepared for Social Science One grantees and describes the "full" URLs dataset, including its scope, structure, and fields. This is version 10 of the codebook and data (released 4/13/2023), first described by Gary King and Nathaniel Persily at https://socialscience.one/blog/update-social-science-one.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Solomon Messing; Christina DeGregorio; Bennett Hillenbrand; Gary King; Saurav Mahanti; Zagreb Mukerjee; Chaya Nayak; Nate Persily; Bogdan State; Arjun Wilkins (2023). Facebook Privacy-Protected Full URLs Data Set [Dataset]. http://doi.org/10.7910/DVN/TDOAPG

Facebook Privacy-Protected Full URLs Data Set

Explore at:
87 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Apr 13, 2023
Dataset provided by
Harvard Dataverse
Authors
Solomon Messing; Christina DeGregorio; Bennett Hillenbrand; Gary King; Saurav Mahanti; Zagreb Mukerjee; Chaya Nayak; Nate Persily; Bogdan State; Arjun Wilkins
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Description

This is a codebook for data on the demographics of people who viewed, shared, and otherwise interacted with web pages (URLs) shared on Facebook, between January 1, 2017 and October 31, 2022. The data has about 68 million URLs, over 3.1 trillion rows, and over 71 trillion cell values. It results from a collaboration between Facebook and Social Science One (at IQSS at Harvard), originally prepared for Social Science One grantees and describes the "full" URLs dataset, including its scope, structure, and fields. This is version 10 of the codebook and data (released 4/13/2023), first described by Gary King and Nathaniel Persily at https://socialscience.one/blog/update-social-science-one.

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